1. Ensemble machine learning of gradient boosting (XGBoost, LightGBM, CatBoost) and attention-based CNN-LSTM for harmful algal blooms forecasting;Toxins,2023
2. Application, interpretability and prediction of machine learning method combined with LSTM and LightGBM – A case study for runoff simulation in an arid area;J. Hydrol.,2023
3. A novel coupling preprocessing approach for handling missing data in water quality prediction;J. Hydrol.,2023
4. Multiple random forests modelling for urban water consumption forecasting;Water Resour. Manage.,2017