Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

Food Classification by extracting the important features using VGGNet based Models in Precision Agriculture

Abstract: Image categorization is quickly rising to the forefront as a potential component of computer vision-based object recognition. Nevertheless, study has only made preliminary progress in ...
IEEE

Ranking Feature Importance Objectives for Explainable Classification

Abstract: Recent studies on explainable machine learning models often analyse feature importance after training, but this results in a model that doesn’t capture feature dependencies and requires ...
GitHub

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...