GitHub

TreeSHAP-compatible AdaBoost and RUSBoost classifiers for explainable AI on imbalanced datasets.

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 ...
Scientific Research Publishing

Ileberi, E., Sun, Y. and Wang, Z. (2021) Performance Evaluation of Machine Learning Methods for Credit Card Fraud Detection Using SMOTE and Adaboost. IEEE Access, 9, 165286-165294.

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...
Scientific Research Publishing

Beja-Battais, P. (2023) Overview of AdaBoost: Reconciling Its Views to Better Understand Its Dynamics. arXiv: 2310.18323.

ABSTRACT: 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 ...
Frontiers

Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method

Predictions of student performance are important to the education system as a whole, helping students to know how their learning is changing and adjusting teachers' and school policymakers' plans for ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...
Frontiers

Research on a dust concentration prediction model for open-pit mines based on error reciprocal integration GA-LSSVM and Elman-Adaboost

1 Key Laboratory of Xinjiang Coal Resources Green Mining, Ministry of Education, Xinjiang Institute of Engineering, Urumqi, China 2 School of Energy Engineering, Xi’an University of Science and ...
Visual Studio Magazine

AdaBoost Binary Classification Using C#

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...
IEEE

Adaboost-based Graph Convolutional Networks with Channel Attention for Intrusion Detection in Internet-of-Things

Abstract: With the increasing proliferation of Internet of Things (IoT) and industrial big data technologies, while IoT scenarios offer intelligent services, cyberspace faces various types of threats ...