..., resulting in an oversampled dataset that better represents the minority class distribution. Data science Machine learning Class imbalance learning Over-sampling Ensemble learning Chang Gung Memorial Hospital, Linkou BMRPH13 http://dx.doi.org/10.13039/501100005795 Institute...

...-consuming enterprises and provide crucial information for global carbon emission reduction. Design/methodology/approach The proposed coal price forecasting system combines data decomposition, semi-supervised feature engineering, ensemble learning and deep learning. It addresses the challenge of merging...

... Convolutional neural network Ensemble learning Lung cancer Long-short-term memory network Squamous cell carcinoma XGBoost Lung cancer is one of the most commonly occurring cancers, causing the deaths of 1.69 million people in 2015 (Torre et al., 2015). Of all the types of cancer, non–small...