| Semi-supervised learning for structured regression on partially observed attributed graphs | Mar 28, 2018 | ImputationMissing Labels | —Unverified | 0 |
| Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment | Mar 17, 2018 | 3D Face AlignmentFace Alignment | —Unverified | 0 |
| Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values | Mar 1, 2018 | ImputationMissing Values | —Unverified | 0 |
| Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries | Feb 25, 2018 | Missing Values | —Unverified | 0 |
| Model Agnostic Time Series Analysis via Matrix Estimation | Feb 25, 2018 | ImputationMissing Values | CodeCode Available | 0 |
| An efficient k-means-type algorithm for clustering datasets with incomplete records | Feb 23, 2018 | ClusteringMissing Values | CodeCode Available | 0 |
| Structured low-rank matrix completion for forecasting in time series analysis | Feb 22, 2018 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 |
| Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information | Feb 18, 2018 | Missing Values | —Unverified | 0 |
| PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data | Feb 11, 2018 | ClusteringImputation | —Unverified | 0 |
| Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data | Feb 1, 2018 | DiversityImputation | CodeCode Available | 0 |
| Side Information for Face Completion: a Robust PCA Approach | Jan 20, 2018 | Face RecognitionFacial Inpainting | —Unverified | 0 |
| Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction | Jan 7, 2018 | Missing ValuesTime Series | CodeCode Available | 0 |
| A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation | Jan 5, 2018 | Missing ValuesState Estimation | —Unverified | 0 |
| Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks | Jan 1, 2018 | Deep Reinforcement LearningGaussian Processes | —Unverified | 0 |
| Online Forecasting Matrix Factorization | Dec 23, 2017 | Missing ValuesTime Series | —Unverified | 0 |
| Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data | Nov 22, 2017 | Bayesian InferenceClassification | —Unverified | 0 |
| Recover Missing Sensor Data with Iterative Imputing Network | Nov 20, 2017 | Missing Values | —Unverified | 0 |
| Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks | Nov 17, 2017 | General ClassificationImputation | —Unverified | 0 |
| Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning | Nov 12, 2017 | Decision MakingImputation | —Unverified | 0 |
| Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data | Nov 11, 2017 | Disease PredictionImputation | —Unverified | 0 |
| Diachrony-aware Induction of Binary Latent Representations from Typological Features | Nov 1, 2017 | Missing Values | —Unverified | 0 |
| Optimal Shrinkage of Singular Values Under Random Data Contamination | Oct 26, 2017 | Missing Values | —Unverified | 0 |
| Learning compressed representations of blood samples time series with missing data | Oct 20, 2017 | General ClassificationMissing Values | CodeCode Available | 0 |
| The low-rank hurdle model | Sep 6, 2017 | ImputationMissing Values | CodeCode Available | 0 |
| Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks | Sep 4, 2017 | Missing ValuesTime Series | —Unverified | 0 |
| The Agreement Measure γcat a Complement to γ Focused on Categorization of a Continuum | Sep 1, 2017 | Missing Values | —Unverified | 0 |
| An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection | Aug 19, 2017 | Gaussian ProcessesMissing Values | —Unverified | 0 |
| Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation | Jul 13, 2017 | Bayesian InferenceMissing Values | CodeCode Available | 0 |
| Dimensionality reduction with missing values imputation | Jul 2, 2017 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| Missing Modalities Imputation via Cascaded Residual Autoencoder | Jul 1, 2017 | ImputationMissing Values | —Unverified | 0 |
| Evolving imputation strategies for missing data in classification problems with TPOT | Jun 4, 2017 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| imputeTS: Time Series Missing Value Imputation in R | Jun 1, 2017 | AttributeImputation | CodeCode Available | 0 |
| Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net | May 29, 2017 | Missing Values | —Unverified | 0 |
| Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion | May 25, 2017 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| Generalized linear models with low rank effects for network data | May 18, 2017 | DenoisingMissing Values | —Unverified | 0 |
| Data Readiness Levels | May 5, 2017 | ManagementMissing Values | CodeCode Available | 0 |
| Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models | Apr 25, 2017 | Change Point DetectionClassification | —Unverified | 0 |
| Bayesian Hybrid Matrix Factorisation for Data Integration | Apr 17, 2017 | Data IntegrationMissing Values | CodeCode Available | 0 |
| LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering | Mar 20, 2017 | Collaborative FilteringMissing Values | —Unverified | 0 |
| Distributed Bayesian Matrix Factorization with Limited Communication | Mar 2, 2017 | Missing Values | —Unverified | 0 |
| Matching web tables to DBpedia-A feature utility study | Mar 1, 2017 | AttributeColumns Property Annotation | CodeCode Available | 0 |
| Spectral Clustering using PCKID - A Probabilistic Cluster Kernel for Incomplete Data | Feb 23, 2017 | ClusteringMissing Values | —Unverified | 0 |
| metboost: Exploratory regression analysis with hierarchically clustered data | Feb 13, 2017 | MathMissing Values | CodeCode Available | 0 |
| Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates | Feb 9, 2017 | Missing Valuesregression | —Unverified | 0 |
| Predicting Pairwise Relations with Neural Similarity Encoders | Feb 6, 2017 | Collaborative FilteringDimensionality Reduction | CodeCode Available | 1 |
| Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree | Jan 20, 2017 | Missing ValuesVariable Selection | —Unverified | 0 |
| Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction | Dec 1, 2016 | Demand ForecastingMissing Values | —Unverified | 0 |
| Recoverability of Joint Distribution from Missing Data | Nov 15, 2016 | Missing Values | —Unverified | 0 |
| Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes | Nov 5, 2016 | Missing ValuesProbabilistic Programming | CodeCode Available | 0 |
| Tensor Decomposition via Variational Auto-Encoder | Nov 3, 2016 | Missing ValuesTensor Decomposition | —Unverified | 0 |