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| Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values | Nov 11, 2022 | Decision MakingImputation | —Unverified | 0 |
| Integrating Locally Learned Causal Structures with Overlapping Variables | Dec 1, 2008 | Missing Values | —Unverified | 0 |
| Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders | Apr 21, 2022 | ImputationMissing Values | —Unverified | 0 |
| Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values | Mar 1, 2018 | ImputationMissing 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 |
| ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment | Jul 16, 2024 | ImputationMissing Values | —Unverified | 0 |
| Joint Graph Estimation and Signal Restoration for Robust Federated Learning | May 16, 2025 | Federated LearningGraph Learning | —Unverified | 0 |
