研究概要

主要論文

• 1. Sherief Hashima, Zubair Md. Fadlullah, Mostafa M. Fouda, Kohei Hatano, Eiji Takimoto, Mohsen Guizani:
  "A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update."
  GLOBECOM 2023: 6880-6885
• 2. Yiping Tang, Kohei Hatano, Eiji Takimoto:
  "Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks."
  DS 2023: 477-491
• 3. Yuta Kurokawa, Ryotaro Mitsuboshi, Haruki Hamasaki, Kohei Hatano, Eiji Takimoto, Holakou Rahmanian:
  "Extended Formulations via Decision Diagrams."
  COCOON (2) 2023: 17-28
• 4. Daiki Suehiro, Eiji Takimoto:
  "Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning"
  Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), 2022.8, PMLR 180:1896-1906.
• 5. Yaxiong Liu, Kohei Hatano, Eiji Takimoto:
  "Improved Algorithms for Online Load Balancing."
  SOFSEM 2021: 203-217
• 6. Sherief Hashima, Mostafa M. Fouda, Zubair Md. Fadlullah, Ehab Mahmoud Mohamed, Kohei Hatano:
  "Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication."
  GLOBECOM 2021: 1-6
• 7. Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
  "Theory and Algorithms for Shapelet-Based Multiple-Instance Learning."
  Neural Comput. 32(8): 1580-1613 (2020)
• 8. Sherief Hashima, Kohei Hatano, Eiji Takimoto, Ehab Mahmoud Mohamed:
  "Neighbor Discovery and Selection in Millimeter Wave D2D Networks Using Stochastic MAB."
  IEEE Commun. Lett. 24(8): 1840-1844 (2020)
• 9. Takahiro Fujita, Kohei Hatano, Eiji Takimoto:
  "Boosting over non-deterministic ZDDs."
  Theor. Comput. Sci. 806: 81-89 (2020)

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