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- W2970759983 abstract "One-class classifiers are trained only with target class samples. Intuitively, their conservative modeling of the class description may benefit classical classification tasks where classes are difficult to separate due to overlapping and data imbalance. In this work, three methods leveraging on the combination of one-class classifiers based on non-parametric models, Trees and Minimum Spanning Trees class descriptors (MST_CD) are proposed." @default.
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- W2970759983 date "2019-01-01" @default.
- W2970759983 modified "2023-09-23" @default.
- W2970759983 title "Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees" @default.
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- W2970759983 doi "https://doi.org/10.1007/978-3-030-29891-3_32" @default.
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