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.