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| Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study | Jan 25, 2025 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees | Jan 23, 2025 | Drug DiscoveryHandwritten Digit Recognition | —Unverified | 0 |
| DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework | Jan 19, 2025 | Contrastive LearningData Augmentation | CodeCode Available | 0 |
| DPERC: Direct Parameter Estimation for Mixed Data | Jan 17, 2025 | Computational EfficiencyImputation | —Unverified | 0 |
| Towards Human-Guided, Data-Centric LLM Co-Pilots | Jan 17, 2025 | Missing Values | —Unverified | 0 |
| Multi-Head Self-Attending Neural Tucker Factorization | Jan 16, 2025 | Missing Values | —Unverified | 0 |
| Dataset-Agnostic Recommender Systems | Jan 13, 2025 | Feature Engineeringfeature selection | —Unverified | 0 |
| Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation | Jan 13, 2025 | ImputationMissing Values | —Unverified | 0 |
| Reliable Imputed-Sample Assisted Vertical Federated Learning | Jan 11, 2025 | Federated LearningMissing Values | —Unverified | 0 |
