IEEE

AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...
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 ...
IEEE

Optimization of Adaboost cardiac disease prediction and classification based on long and short term memory network

Abstract: In this paper, the optimization of Adaboost algorithm combined with LSTM (Long short-term memory network) model was carried out to predict heart disease, and the prediction effect of the ...
Frontiers

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...
Search Engine Land

Google March 2025 core update rolling out now

This is the first core update of 2025 and the first core update since December. It will take up to two weeks to roll out. Google today released the March 2025 core update. Google said this core update ...
Scientific Research Publishing

Huang, Q. L., Zhao, J. L., Bai, Q. et al. (2023). Automatic Identification of Sedimentary Microfacies Based on Adaboost Algorithm: A Case Study of Shanxi Formation, Q Area ...

ABSTRACT: In the course of oil and gas exploration, understanding the petrophysical parameters such as reservoir porosity and permeability is crucial for evaluating oil and gas reserves and mining ...
Scientific Research Publishing

Liang, Y., Huang, D., Chen, Y., Meng, Y. and Zhu, J. (2024) Optimization on Handling Stability Using Adaboost-Cart with an Improved Evolution Algorithm under Uncertainty ...

ABSTRACT: Based on Sentinel-2 satellite data, this study conducted remote sensing inversion of chemical elements in Laguocuo Salt Lake, Xizang, in order to reveal the spatial distribution ...
Frontiers

Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations

Adaptive Boosting (AdaBoost), an ensemble of several weak learner decision trees, outperforms random guessing by a modest margin. To minimize the error of the ...