Tag: feature selection

A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...

Researchers in Algeria have built an optimized neural network that predicts the analgesic activity of drug-like molecules with 95.9 percent ...

A new study combining statistics and machine learning shows that measurable postural instability emerges at simulated altitudes as low as ...

A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active ...

A new open-source Python package called ROOFS benchmarks multiple feature selection methods on a researcher's own data, evaluating predictive performance ...

Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular data classification, reaching ...

An explainable machine learning study of Jeju Island shows that flood occurrence is governed by region-specific interactions among rainfall, groundwater, ...

Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and hyperparameter tuning that predicts agronomic ...

A new framework combines a platform-free federated learning blockchain consensus mechanism with optimized neural networks to secure electronic health record ...

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in ...