| OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning | May 12, 2024 | Inductive BiasMissing Values | —Unverified | 0 | 0 |
| Parallel Coordinates for Discovery of Interpretable Machine Learning Models | May 28, 2023 | Dimensionality ReductionInterpretable Machine Learning | —Unverified | 0 | 0 |
| Parsimonious Feature Extraction Methods: Extending Robust Probabilistic Projections with Generalized Skew-t | Sep 24, 2020 | Missing Values | —Unverified | 0 | 0 |
| Parts for the Whole: The DCT Norm for Extreme Visual Recovery | Apr 19, 2016 | Missing Values | —Unverified | 0 | 0 |
| Pattern Discovery in Time Series with Byte Pair Encoding | May 30, 2021 | Missing ValuesTime Series | —Unverified | 0 | 0 |
| PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data | Feb 11, 2018 | ClusteringImputation | —Unverified | 0 | 0 |
| A New Low-Rank Tensor Model for Video Completion | Sep 7, 2015 | Missing Values | —Unverified | 0 | 0 |
| An End-to-End Time Series Model for Simultaneous Imputation and Forecast | Jun 1, 2023 | ImputationMissing Values | —Unverified | 0 | 0 |
| A Computational Exploration of Emerging Methods of Variable Importance Estimation | Aug 5, 2022 | Missing Values | —Unverified | 0 | 0 |
| Performance comparison of State-of-the-art Missing Value Imputation Algorithms on Some Bench mark Datasets | Jul 22, 2013 | Decision MakingGeneral Classification | —Unverified | 0 | 0 |
| Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones | Sep 20, 2022 | ImputationMissing Values | —Unverified | 0 | 0 |
| Phase I Analysis of Individual Observations with Missing Data | Mar 14, 2013 | Missing Valuesregression | —Unverified | 0 | 0 |
| An End-to-End Model for Time Series Classification In the Presence of Missing Values | Aug 11, 2024 | ClassificationImputation | —Unverified | 0 | 0 |
| Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models | Jul 12, 2023 | DecoderDenoising | —Unverified | 0 | 0 |
| Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs | Feb 11, 2025 | Missing ValuesMultivariate Time Series Forecasting | —Unverified | 0 | 0 |
| Posterior Consistency for Missing Data in Variational Autoencoders | Oct 25, 2023 | Missing Values | —Unverified | 0 | 0 |
| WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting | Jun 14, 2024 | Missing ValuesTime Series | —Unverified | 0 | 0 |
| Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets | Aug 20, 2018 | ClusteringMissing Values | —Unverified | 0 | 0 |
| Predicting Brain Degeneration with a Multimodal Siamese Neural Network | Nov 2, 2020 | Missing Values | —Unverified | 0 | 0 |
| Predicting feature imputability in the absence of ground truth | Jul 14, 2020 | ImputationMissing Values | —Unverified | 0 | 0 |
| An Effective Evolutionary Clustering Algorithm: Hepatitis C Case Study | Feb 27, 2014 | ClusteringMissing Values | —Unverified | 0 | 0 |
| Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks | Sep 4, 2017 | Missing ValuesTime Series | —Unverified | 0 | 0 |
| Predicting Traffic Congestion at Urban Intersections Using Data-Driven Modeling | Apr 12, 2024 | Missing Values | —Unverified | 0 | 0 |
| What’s a good imputation to predict with missing values? | Dec 1, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| Prediction with Incomplete Data under Agnostic Mask Distribution Shift | May 18, 2023 | Missing ValuesPrediction | —Unverified | 0 | 0 |