| Change point detection for graphical models in the presence of missing values | Jul 11, 2019 | Change Point DetectionImputation | CodeCode Available | 0 | 5 |
| Imputing missing values with unsupervised random trees | Nov 15, 2019 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets | Mar 11, 2021 | Bayesian InferenceMissing Values | CodeCode Available | 0 | 5 |
| Naive Bayes Classifiers over Missing Data: Decision and Poisoning | Mar 8, 2023 | Data PoisoningMissing Values | CodeCode Available | 0 | 5 |
| imputeTS: Time Series Missing Value Imputation in R | Jun 1, 2017 | AttributeImputation | CodeCode Available | 0 | 5 |
| Imputing Brain Measurements Across Data Sets via Graph Neural Networks | Aug 19, 2023 | Graph Neural NetworkImputation | CodeCode Available | 0 | 5 |
| Clairvoyance: A Pipeline Toolkit for Medical Time Series | Oct 28, 2023 | AutoMLMissing Values | CodeCode Available | 0 | 5 |
| A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers | Oct 14, 2024 | Causal Language ModelingLanguage Modeling | CodeCode Available | 0 | 5 |
| Imputing typological values via phylogenetic inference | Nov 1, 2020 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Influence-guided Data Augmentation for Neural Tensor Completion | Aug 23, 2021 | Data AugmentationImputation | CodeCode Available | 0 | 5 |
| A reproducible pipeline for extracting representative signals from wire cuts | May 17, 2024 | Missing Values | CodeCode Available | 0 | 5 |
| CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | May 23, 2019 | ImputationMachine Translation | CodeCode Available | 0 | 5 |
| Gradient Importance Learning for Incomplete Observations | Jul 5, 2021 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Causal-StoNet: Causal Inference for High-Dimensional Complex Data | Mar 27, 2024 | Causal InferenceEconometrics | CodeCode Available | 0 | 5 |
| Causal Inference with Noisy and Missing Covariates via Matrix Factorization | Jun 3, 2018 | Causal InferenceMatrix Completion | CodeCode Available | 0 | 5 |
| Learning Distributional Programs for Relational Autocompletion | Jan 23, 2020 | Missing Values | CodeCode Available | 0 | 5 |
| Leveraging Predictive Equivalence in Decision Trees | Jun 17, 2025 | Interpretable Machine LearningMissing Values | CodeCode Available | 0 | 5 |
| A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data | Mar 3, 2021 | Bayesian InferenceImputation | CodeCode Available | 0 | 5 |
| COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data | Jul 17, 2024 | Causal DiscoveryFault Diagnosis | CodeCode Available | 0 | 5 |
| Attribute-Based Semantic Type Detection and Data Quality Assessment | Oct 4, 2024 | AttributeMissing Values | CodeCode Available | 0 | 5 |
| Low rank label subspace transformation for multi-label learning with missing labels | Mar 5, 2022 | Missing LabelsMissing Values | CodeCode Available | 0 | 5 |
| M^3-Impute: Mask-guided Representation Learning for Missing Value Imputation | Oct 11, 2024 | Feature CorrelationGraph Neural Network | CodeCode Available | 0 | 5 |
| Imputation using training labels and classification via label imputation | Nov 28, 2023 | ClassificationImputation | CodeCode Available | 0 | 5 |
| Matrix Completion on Graphs | Aug 7, 2014 | Collaborative FilteringMatrix Completion | CodeCode Available | 0 | 5 |
| Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers | Nov 1, 2022 | FairnessImputation | CodeCode Available | 0 | 5 |
| MC-DBN: A Deep Belief Network-Based Model for Modality Completion | Feb 15, 2024 | Missing ValuesModality completion | CodeCode Available | 0 | 5 |
| IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records | Jan 9, 2024 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| Improving Missing Data Imputation with Deep Generative Models | Feb 27, 2019 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Imputation and low-rank estimation with Missing Not At Random data | Dec 29, 2018 | ImputationMatrix Completion | CodeCode Available | 0 | 5 |
| Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series | Jan 14, 2024 | ImputationMemorization | CodeCode Available | 0 | 5 |
| Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes | May 17, 2025 | Gaussian ProcessesImputation | CodeCode Available | 0 | 5 |
| Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series | Sep 16, 2024 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Graph Markov Network for Traffic Forecasting with Missing Data | Dec 10, 2019 | Edge-computingImputation | CodeCode Available | 0 | 5 |
| Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values | Jan 11, 2024 | Anomaly DetectionMissing Values | CodeCode Available | 0 | 5 |
| GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies | Oct 13, 2022 | Missing Values | CodeCode Available | 0 | 5 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 | 5 |
| Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales | Dec 24, 2024 | Graph structure learningImputation | CodeCode Available | 0 | 5 |
| A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values | Jun 12, 2018 | Missing Values | CodeCode Available | 0 | 5 |
| Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting | May 6, 2024 | AstronomyIrregular Time Series | CodeCode Available | 0 | 5 |
| Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations | Apr 15, 2025 | ClusteringData Integration | CodeCode Available | 0 | 5 |
| Generative Semi-supervised Learning for Multivariate Time Series Imputation | May 18, 2021 | Generative Adversarial NetworkImputation | CodeCode Available | 0 | 5 |
| Greedy structure learning from data that contain systematic missing values | Jul 9, 2021 | Missing Values | CodeCode Available | 0 | 5 |
| fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser | Sep 26, 2020 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge | Jun 9, 2023 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data | Feb 1, 2018 | DiversityImputation | CodeCode Available | 0 | 5 |
| Federated Survival Forests | Feb 6, 2023 | Federated LearningMissing Values | CodeCode Available | 0 | 5 |
| FedIMPUTE: Privacy-Preserving Missing Value Imputation for Multi-Site Heterogeneous Electronic Health Records | Aug 22, 2024 | Federated LearningMissing Values | CodeCode Available | 0 | 5 |
| Fast Rank-1 NMF for Missing Data with KL Divergence | Oct 25, 2021 | Matrix Factorization / DecompositionMissing Values | CodeCode Available | 0 | 5 |
| FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth Completion | Sep 14, 2022 | Depth CompletionMissing Values | CodeCode Available | 0 | 5 |
| Binary Classification in Unstructured Space With Hypergraph Case-Based Reasoning | Jun 16, 2018 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |