Description
Feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction.
Papers Using This Method
From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification2025-07-08Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS2025-06-25Towards Interpretable and Efficient Feature Selection in Trajectory Datasets: A Taxonomic Approach2025-06-25scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection2025-06-25Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy2025-06-19Efficient Malware Detection with Optimized Learning on High-Dimensional Features2025-06-18Simple is what you need for efficient and accurate medical image segmentation2025-06-16Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss2025-06-16A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method2025-06-13On feature selection in double-imbalanced data settings: a Random Forest approach2025-06-12Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition2025-06-11Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction2025-06-11CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction2025-06-09Evaluation of Machine Learning Models in Student Academic Performance Prediction2025-06-08Scalable unsupervised feature selection via weight stability2025-06-06Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning2025-06-05Classifying Dental Care Providers Through Machine Learning with Features Ranking2025-06-04Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation2025-06-04FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes2025-06-03Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data2025-06-02