Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
Abstract: Multi-class classification talks about classification tasks that have three or more classes. It takes the assumption that every data sample in the dataset is assigned to one and only one ...
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