| LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It | Mar 31, 2025 | Decision Makingfeature selection | —Unverified | 0 |
| Investigation of intelligent barbell squat coaching system based on computer vision and machine learning | Mar 31, 2025 | Diagnosticfeature selection | —Unverified | 0 |
| Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline | Mar 27, 2025 | Feature Engineeringfeature selection | —Unverified | 0 |
| Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics | Mar 24, 2025 | Anomaly DetectionComputational Efficiency | —Unverified | 0 |
| Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data | Mar 23, 2025 | feature selectionSelf-Supervised Learning | —Unverified | 0 |
| Feature selection strategies for optimized heart disease diagnosis using ML and DL models | Mar 20, 2025 | Decision MakingDiagnostic | —Unverified | 0 |
| Hyperspectral Unmixing using Iterative, Sparse and Ensambling Approaches for Large Spectral Libraries Applied to Soils and Minerals | Mar 20, 2025 | feature selectionHyperspectral Unmixing | —Unverified | 0 |
| Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure | Mar 19, 2025 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 |
| Multi-label feature selection based on binary hashing learning and dynamic graph constraints | Mar 18, 2025 | feature selectionMulti-Label Learning | —Unverified | 0 |
| AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach | Mar 18, 2025 | Drug DiscoveryEnsemble Learning | —Unverified | 0 |
