Manifold cluster-based evolutionary ensemble imbalance learning

Impact of oil price volatility and economic policy uncertainty on business investment - Insights from the energy sector

“…Specifically, the unpredictability in lubricant prices has a more significant effect for downward movements than upward ones. Other research has focused on the impact of OPU on oil and gas assets demonstrating that changes in oil prices significantly impact both the aggregate and individual investment choices of businesses [ 13 ]. Given the interrelated nature of OPU and economic policy uncertainty (EPU), it is crucial to examine the effects of both on business assets, with a particular emphasis on enterprises operating in the oil industry.…”

A transfer weighted extreme learning machine for imbalanced classification

“…8 The former balances data sizes of all classes by oversampling minority samples or undersampling majority ones. [9][10][11] Being different from them, algorithm-based strategies fully utilize characteristics of data to improve the classification accuracy of traditional classification algorithms. A widely used one, the so-called cost-sensitive imbalanced classification method, emphasizes the impact of minority data on classification boundary by assigning a higher misclassification cost to them.…”

“…To address this issue, rich studies have been done on class imbalance learning that is normally categorized into data‐ and algorithm‐based strategies 8 . The former balances data sizes of all classes by oversampling minority samples or undersampling majority ones 9–11 . Being different from them, algorithm‐based strategies fully utilize characteristics of data to improve the classification accuracy of traditional classification algorithms.…”