| MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling | Jul 17, 2025 | Domain GeneralizationImputation | —Unverified | 0 | 0 |
| MSTF: Multiscale Transformer for Incomplete Trajectory Prediction | Jul 8, 2024 | Autonomous DrivingMissing Values | —Unverified | 0 | 0 |
| A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base | May 17, 2024 | Missing ValuesMultilingual NLP | —Unverified | 0 | 0 |
| Towards Accurate 3D Human Motion Prediction From Incomplete Observations | Jun 19, 2021 | Human motion predictionMissing Values | —Unverified | 0 | 0 |
| Multidimensional dynamic factor models | Jan 29, 2023 | Missing ValuesTime Series | —Unverified | 0 | 0 |
| Multi-Head Self-Attending Neural Tucker Factorization | Jan 16, 2025 | Missing Values | —Unverified | 0 | 0 |
| Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets | Aug 17, 2020 | Action Unit DetectionMissing Labels | —Unverified | 0 | 0 |
| Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset | Nov 18, 2024 | ClusteringData Integration | —Unverified | 0 | 0 |
| Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values | Apr 7, 2016 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study | Dec 18, 2024 | Feature Importancefeature selection | —Unverified | 0 | 0 |
| Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders | May 13, 2020 | ImputationMissing Values | —Unverified | 0 | 0 |
| Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective | Sep 18, 2023 | Contrastive LearningImputation | —Unverified | 0 | 0 |
| Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks | Jun 22, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multiple Predictively Equivalent Risk Models for Handling Missing Data at Time of Prediction: with an Application in Severe Hypoglycemia Risk Prediction for Type 2 Diabetes | Jan 25, 2020 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT) | Apr 30, 2019 | ImputationIrregular Time Series | —Unverified | 0 | 0 |
| A Quantitative Evaluation Framework for Missing Value Imputation Algorithms | Nov 10, 2013 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction | Sep 2, 2024 | Autonomous DrivingAutonomous Vehicles | —Unverified | 0 | 0 |
| Multi-Task Learning with Incomplete Data for Healthcare | Jul 6, 2018 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multi-task longitudinal forecasting with missing values on Alzheimer's Disease | Jan 13, 2022 | ImputationMissing Values | —Unverified | 0 | 0 |
| Multi-tensor Completion for Estimating Missing Values in Video Data | Sep 1, 2014 | Missing Values | —Unverified | 0 | 0 |
| Towards Explainable Automated Data Quality Enhancement without Domain Knowledge | Sep 16, 2024 | Missing Values | —Unverified | 0 | 0 |
| Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in an Autobody Assembly Process | Jan 7, 2013 | Missing Values | —Unverified | 0 | 0 |
| Application of time-series quantum generative model to financial data | May 20, 2024 | Missing ValuesTime Series | —Unverified | 0 | 0 |
| Multivariate Time Series Imputation with Generative Adversarial Networks | Dec 1, 2018 | Image GenerationImputation | —Unverified | 0 | 0 |
| Adapting Fairness Interventions to Missing Values | May 30, 2023 | FairnessMissing Values | —Unverified | 0 | 0 |