An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Abstract: Classifier technology is an important part of radar target recognition application, and its design and experiment play a very important role in radar target recognition. AdaBoost classifier ...

Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel method integrating active learning with RF, GB, XGB, KNN, LR, and ...

This project demonstrates how to build, train, and evaluate an AdaBoost classification model using the famous Iris flower dataset. The dataset contains measurements of iris flowers (features) and ...

Introduction: Visceral leishmaniasis (VL) is a severe and neglected tropical disease of public health concern. VL is fatal if not treated. Kenya has experienced multiple outbreaks of the disease since ...

This package provides custom implementations of AdaBoost and RUSBoost classifiers that are compatible with SHAP's TreeExplainer, enabling fast local explanations for boosting algorithms on imbalanced ...

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...

Abstract: AdaBoost is one of the most popular algorithms to construct a strong classifier with linear combination of member classifiers. The member classifiers are selected to minimize the errors in ...