This method uses the idea of distance alignment in multi-view alignment to align the centers of the minority instances with the majority instances, and slide to select the majority instances on the sequence of pseudo-majority instances.
SWSEL: : Sliding Window-based Selective Ensemble Learning for ...
dl.acm.org › j.engappai.2023.105959
Ensemble learning is a common method to solve the class-imbalance problem. They build multiple classifier systems on the training dataset to improve the ...
... Methods to cope with the class-imbalance problem can be simply divided into preprocessing (also known as data resampling) [22,23], algorithm modification [ ...
SWSEL: Sliding Window-based Selective Ensemble Learning for class-imbalance problems · List of references · Publications that cite this publication.
SWSEL: Sliding Window-based Selective Ensemble Learning for class-imbalance problems. Engineering Applications of Artificial Intelligence, 121, 105959. The ...
SWSEL: Sliding window-based selective ensemble learning for class-imbalance problems ... based on matrix decomposition for class imbalance problem. Q Dai, X ...
SWSEL: Sliding Window-based Selective Ensemble Learning for class-imbalance problems. Qi Dai, Jian-wei Liu, Jia-Peng Yang. https://doi.org/10.1016/j.engappai ...
People also ask
What is the sliding window approach for classification?
The contributions of the proposed strategy are: (1) reducing the impact of class imbalance distribution, (2) assigning based learner weights only once after the ...
文献信息. SWSEL: Sliding Window-based Selective Ensemble Learning for class-imbalance problems. 服务链接： 全文链接 请求文献. 作者：Dai, Qi;Liu, Jian-wei;Yang ...
Mar 26, 2024 · Dai Q, Liu J, and Yang J SWSEL: sliding window-based selective ensemble learning for class-imbalance problems Eng Appl Artif Intell 2023 121.