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 ...