| Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series | Dec 3, 2023 | ImputationMissing Values | —Unverified | 0 |
| Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle | Jul 20, 2022 | Anomaly DetectionManagement | —Unverified | 0 |
| Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks | Jan 1, 2018 | Deep Reinforcement LearningGaussian Processes | —Unverified | 0 |
| BRATI: Bidirectional Recurrent Attention for Time-Series Imputation | Jan 9, 2025 | ImputationMissing Values | —Unverified | 0 |
| Leveraging Language Models for Analyzing Longitudinal Experiential Data in Education | Mar 27, 2025 | DecoderMissing Values | —Unverified | 0 |
| Irregularly-Sampled Time Series Modeling with Spline Networks | Oct 19, 2022 | Missing ValuesTime Series | —Unverified | 0 |
| IRTCI: Item Response Theory for Categorical Imputation | Feb 8, 2023 | ImputationMissing Values | —Unverified | 0 |
| Iterative missing value imputation based on feature importance | Nov 14, 2023 | Feature ImportanceImputation | —Unverified | 0 |
| Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems | May 9, 2025 | Missing Values | —Unverified | 0 |
| Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data | Nov 11, 2017 | Disease PredictionImputation | —Unverified | 0 |
| ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment | Jul 16, 2024 | ImputationMissing Values | —Unverified | 0 |
| A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis | Nov 29, 2018 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Learning from data with structured missingness | Apr 4, 2023 | Missing Values | —Unverified | 0 |
| Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values | Nov 22, 2019 | Missing ValuesMultivariate Time Series Forecasting | —Unverified | 0 |
| Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint | Aug 23, 2020 | Graph LearningMissing Values | —Unverified | 0 |
| Cross-view kernel transfer | Oct 14, 2019 | Missing Values | —Unverified | 0 |
| Constructing High Frequency Economic Indicators by Imputation | Mar 3, 2023 | counterfactualImputation | —Unverified | 0 |
| Knowledge Graph Curation: A Practical Framework | Aug 17, 2022 | Knowledge GraphsMissing Values | —Unverified | 0 |
| Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference | Oct 18, 2019 | Causal Inferencecounterfactual | —Unverified | 0 |
| Large Language Model-aided Edge Learning in Distribution System State Estimation | May 11, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Large Scale Record Linkage in the Presence of Missing Data | Apr 19, 2021 | AttributeData Integration | —Unverified | 0 |
| Zero-shot Imputation with Foundation Inference Models for Dynamical Systems | Feb 12, 2024 | ImputationMissing Values | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring | Apr 18, 2025 | Computational EfficiencyMissing Values | —Unverified | 0 |
| Learning Conditional Variational Autoencoders with Missing Covariates | Mar 2, 2022 | Missing ValuesVariational Inference | —Unverified | 0 |