most citedApplication of an ANN and LSTM-based Ensemble Model for Stock Market Prediction

1 citations · 1 across the 2 of their papers we have counts for

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cs.LG2025

Gradient Boosting Decision Tree with LSTM for Investment Prediction

Chang Yu, Fang Liu, Jie Zhu +5

This paper proposes a hybrid framework combining LSTM (Long Short-Term Memory) networks with LightGBM and CatBoost for stock price prediction. The framework processes time-series f…

cs.LG2024★ 2 cited

Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN

Chang Yu, Yixin Jin, Qianwen Xing +3

Bank credit risk is a significant challenge in modern financial transactions, and the ability to identify qualified credit card holders among a large number of applicants is crucia…