Abstract: Highlights•Retrieving adaptive and solid neighborhood for multi-label data.•Emphasizing boundary areas of highly imbalanced labels.•Exploiting label correlations to guide the label assignment.•Better performances than 8 baselines with 5 multi-label classifiers.
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