A Comparative Analysis of Ensemble Learning Algorithms: Random Forest, XGBoost, and LightGBM on the Titanic Dataset [PDF]
Yanze Sun
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Remaining Useful Life Estimation of Aircraft Engines Based on Deep Convolution Neural Network and LightGBM Combination Model [PDF]
Lijun Liu, Lan Wang, Zhen Yu
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Intelligent diagnosis method for river and lake ecosystem health based on improved slime mold algorithm-optimized SVR. [PDF]
Chi R, Da Y, Li W, Wen D.
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LightGBM Medium-Term Photovoltaic Power Prediction Integrating Meteorological Features and Historical Data [PDF]
Yang Yu +3 more
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Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. [PDF]
Ridwan AM, Mohi Uddin KM.
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Convex-Analytic Mean-Variance Allocation with LightGBM Forecasts [PDF]
Jiayu Li
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Multi-Task Deep Learning Model for Automated Detection and Severity Grading of Lumbar Spinal Stenosis on MRI: Multi-Center External Validation. [PDF]
Udomluck P +3 more
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TinyVit-LightGBM: A lightweight and smart feature fusion framework for IoMT-based cancer diagnosis
Hongwei Wang +7 more
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Electric vehicles charging stations load forecasting based on hybrid XGBoost-BiLSTM model. [PDF]
Mansour HSE, Mohamed AS, Abdel-Aziz M.
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