Improving Imbalanced Classification Using Near-miss Instances.
Expert Systems with Applications (ESWA), 2022.
A paper accepted for Expert Systems with Applications (ESWA)
Our paper on learning a classifier with near-miss (weak positive) labels was accepted for the journal of Expert Systems with Applications (ESWA).
Akira Tanimoto, So Yamada, Takashi Takenouchi, Masashi Sugiyama, Hisashi Kashima.
Improving Imbalanced Classification Using Near-miss Instances.
Expert Systems with Applications (ESWA), 2022.
Improving Imbalanced Classification Using Near-miss Instances.
Expert Systems with Applications (ESWA), 2022.