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| Adaptive | imputation | of missing values for incomplete pattern classification |
| Aesthetics-Guided Graph Clustering With Absent Modalities | imputation | |
| Analysis of Spatiotemporal Data | imputation | Methods for Traffic Flow Data in Urban Networks |
| Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data | imputation | and Kriging |
| Car-following trajectory data | imputation | with adversarial convolutional neural network |
| Causally-Aware Intraoperative | imputation | for Overall Survival Time Prediction |
| COLI: Collaborative clustering missing data | imputation | |
| CollaGAN: Collaborative GAN for Missing Image Data | imputation | |
| Combination of individual tree detection and area-based approach in | imputation | of forest variables using airborne laser data |
| Comparison of Different Missing- | imputation | Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels |
| Comparison of | imputation | Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data, A |
| comparison of | imputation | methods for handling missing scores in biometric fusion, A |
| Customized Data Fusion Tensor Approach for Interval-Wise Missing Network Volume | imputation | , A |
| Data | imputation | in deep neural network to enhance breast cancer detection |
| Data-Driven | imputation | Method for Traffic Data in Sectional Units of Road Links |
| Disentangle First, Then Distill: A Unified Framework for Missing Modality | imputation | and Alzheimer's Disease Diagnosis |
| Dynamic time warping-based | imputation | for univariate time series data |
| Effective | imputation | Method Using Data Enrichment for Missing Data of Loop Detectors in Intelligent Traffic Control Systems, An |
| Efficient Missing Counts | imputation | of a Bike-Sharing System by Generative Adversarial Network |
| End-to-end Multi-task Learning of Missing Value | imputation | and Forecasting in Time-Series Data |
| Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN | imputation | |
| Evaluating | imputation | Techniques for Missing Data in ADNI: A Patient Classification Study |
| Evaluating k-Nearest Neighbor (kNN) | imputation | Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China |
| GAMIN: Generative Adversarial Multiple | imputation | Network for Highly Missing Data |
| Gated Generative Adversarial | imputation | Approach for Signalized Road Networks, A |
| Generative | imputation | and Stochastic Prediction |
| Graph Spectral Regularized Tensor Completion for Traffic Data | imputation | |
| Groundwater Level Data | imputation | Using Machine Learning and Remote Earth Observations Using Inductive Bias |
| How distance metrics influence missing data | imputation | with k-nearest neighbours |
| HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data | imputation | |
| Hybrid data-driven approach for truck travel time | imputation | |
| Image Inpainting with Learnable Feature | imputation | |
| Imitative Non-Autoregressive Modeling for Trajectory Forecasting and | imputation | |
| Impact of | imputation | of missing values on classification error for discrete data |
| Improved Self-Representation Approach for Missing Value | imputation | , An |
| improved tucker decomposition-based | imputation | method for recovering lane-level missing values in traffic data, An |
| imputation | of direction of motion in one dimension |
| imputation | of GPS Coordinate Time Series Using missForest |
| imputation | of Missing Parts in UAV Orthomosaics Using PlanetScope and Sentinel-2 Data: A Case Study in a Grass-Dominated Area |
| imputation | of Rainfall Data Using Improved Neural Network Algorithm |
| Innovative method for traffic data | imputation | based on convolutional neural network |
| Kernel Domain Description with Incomplete Data: Using Instance-Specific Margins to Avoid | imputation | |
| Latent-Factor-Model-Based Approach for Traffic Data | imputation | with Road Network Information, A |
| Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data | imputation | |
| McFlow: Monte Carlo Flow Models for Data | imputation | |
| Medical Image | imputation | From Image Collections |
| Microarray Missing Data | imputation | based on a Set Theoretic Framework and Biological Constraints |
| Missing Data | imputation | for Geolocation-based Price Prediction Using KNN-MCF Method |
| Missing Data | imputation | in GNSS Monitoring Time Series Using Temporal and Spatial Hankel Matrix Factorization |
| Missing Data | imputation | via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation |
| Missing Data Repairs for Traffic Flow With Self-Attention Generative Adversarial | imputation | Net |
| Missing Modalities | imputation | via Cascaded Residual Autoencoder |
| Missing Road Condition | imputation | Using a Multi-View Heterogeneous Graph Network From GPS Trajectory |
| Missing traffic data: comparison of | imputation | methods |
| Missing Value | imputation | for Traffic-Related Time Series Data Based on a Multi-View Learning Method |
| MRI | imputation | based on Fused Index- and Intensity-Registration |
| Multi-objective genetic algorithm for missing data | imputation | |
| Multi-Output Gaussian Processes for Crowdsourced Traffic Data | imputation | |
| Multiple | imputation | by Chained Equations: K-Nearest Neighbors and Deep Neural Network Architecture for Kidney Disease Prediction |
| Multitask Neural Tensor Factorization for Road Traffic Speed-Volume Correlation Pattern Learning and Joint | imputation | |
| Multivariate Time Series | imputation | With Transformers |
| New Multispectral Data Augmentation Technique Based on Data | imputation | , A |
| Non-Employment Activity Type | imputation | from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get? |
| novel | imputation | methodology for time series based on pattern sequence forecasting, A |
| One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data | imputation | |
| Online Edge Flow | imputation | on Networks |
| PPCA-Based Missing Data | imputation | for Traffic Flow Volume: A Systematical Approach |
| Robust and flexible strategy for missing data | imputation | in intelligent transportation system |
| Some | imputation | Algorithms for Restoration of Missing Data |
| Spatial Origin-Destination Flow | imputation | Using Graph Convolutional Networks |
| Spatial-Temporal Data | imputation | Model of Traffic Passenger Flow Based on Grid Division |
| Spatiotemporal Tensor Completion for Improved Urban Traffic | imputation | |
| Spatiotemporal traffic data | imputation | by synergizing low tensor ring rank and nonlocal subspace regularization |
| Spatiotemporal traffic data | imputation | via tensorial weighted Schatten-p norm minimization |
| STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value | imputation | in Satellite Data |
| Submonthly Surface Water Classification Framework via Gap-Fill | imputation | and Random Forest Classifiers of Landsat Imagery, A |
| TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in | imputation | of Forest Aboveground Biomass and Stem Volume |
| Time Series | imputation | in Faulty Systems |
| TopFusion: Using Topological Feature Space for Fusion and | imputation | in Multi-Modal Data |
| Traffic Flow | imputation | Using Parallel Data and Generative Adversarial Networks |
| Traffic State Data | imputation | : An Efficient Generating Method Based on the Graph Aggregator |
| Trip Purpose | imputation | Using GPS Trajectories with Machine Learning |
| Uncovering the Missing Pattern: Unified Framework Towards Trajectory | imputation | and Prediction |
| Variational cycle-consistent | imputation | adversarial networks for general missing patterns |
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