| AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark | Dec 9, 2024 | Missing Values | —Unverified | 0 |
| FCMI: Feature Correlation based Missing Data Imputation | Jun 26, 2021 | Feature CorrelationImputation | —Unverified | 0 |
| Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction | Dec 8, 2019 | Feature EngineeringMissing Values | —Unverified | 0 |
| Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset | Oct 2, 2018 | feature selectionGeneral Classification | —Unverified | 0 |
| Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems | May 9, 2025 | Missing Values | —Unverified | 0 |
| BERT Meets Relational DB: Contextual Representations of Relational Databases | Apr 30, 2021 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| An End-to-End Time Series Model for Simultaneous Imputation and Forecast | Jun 1, 2023 | ImputationMissing Values | —Unverified | 0 |
| GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation | Nov 24, 2023 | Graph AttentionImputation | —Unverified | 0 |
| An End-to-End Model for Time Series Classification In the Presence of Missing Values | Aug 11, 2024 | ClassificationImputation | —Unverified | 0 |
| ADO: Automatic Data Optimization for Inputs in LLM Prompts | Feb 17, 2025 | Missing ValuesPrompt Engineering | —Unverified | 0 |
