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  1. No Access

    Article

    Online concept evolution detection based on active learning

    Concept evolution detection is an important and difficult problem in streaming data mining. When the labeled samples in streaming data insufficient to reflect the training data distribution, it will often furt...

    Husheng Guo, Hai Li, Lu Cong, Wenjian Wang in Data Mining and Knowledge Discovery (2024)

  2. No Access

    Article

    Global-local information based oversampling for multi-class imbalanced data

    Multi-class imbalanced classification is a challenging problem in the field of machine learning. Many methods have been proposed to deal with it, and oversampling is one of the most popular techniques which al...

    Mingming Han, Husheng Guo, **yan Li… in International Journal of Machine Learning … (2023)

  3. No Access

    Article

    Concept drift detection and accelerated convergence of online learning

    Streaming data has become an important form in the era of big data, and the concept drift, as one of the most important problem of it, is often studied deeply. However, similar to true concept drift, noise and...

    Husheng Guo, Hai Li, Ni Sun, Qiaoyan Ren, Aijuan Zhang… in Knowledge and Information Systems (2023)

  4. No Access

    Article

    Granular support vector machine: a review

    The time complexity of traditional support vector machine (SVM) is \(O(l^{3})\) ...

    Husheng Guo, Wenjian Wang in Artificial Intelligence Review (2019)