Two Papers Accepted for SDM 2022

Two papers were accepted for SIAM Inte
  • Ryoma Sato.
    Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
    In Proceedings of the SIAM International Conference on Data Mining (SDM), 2022.
  • Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima.
    Learning Time-series Shapelets Enhancing Discriminability.
    In Proceedings of the SIAM International Conference on Data Mining (SDM), 2022.