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RIKEN Center for Advanced Intelligence Project

Human Computation Team

Team Leader: Hisashi Kashima (Ph.D.)
Hisashi  Kashima(Ph.D.)

Despite the recent significant advances of artificial intelligence technologies, AI's ability is still behind mankind in terms of flexibility and creativity, especially for abstract, open-ended, and context-dependent tasks. Our goal is to develop methodologies for solving hard problems by combining AI and the crowd, and to enhance human ability with the help of AI.

Main Research Field

Computer Science

Related Research Fields

Social Sciences & General / Multidisciplinary

Research Subjects

  • Human computation
  • Crowdsourcing
  • Learning analytics
  • Data science education

Selected Publications

  1. Sunahase, T., Baba, Y., and Kashima, H.:
    “Pairwise HITS: quality estimation from pairwise comparisons in creator-evaluator crowdsourcing process”
    Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), pp.977-983 (2017).
  2. Takahama, R., Kamishima, T., and Kashima, H.:
    “Progressive comparison for ranking estimation”
    Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pp.3882-3888 (2016).
  3. Baba, Y., and Kashima, H.:
    “Statistical quality estimation for general crowdsourcing tasks”
    Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp.554-562 (2013).
  4. Kajino, H., Tsuboi, Y., and Kashima, H.:
    “A convex formulation for learning from crowds”
    Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI), pp.73-79 (2012).
  5. Nori, N., Bollegara, D., and Kashima, H.:
    “Multinomial relation prediction in social data: a dimension reduction approach”
    Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI), pp.115-121, (2012).
  6. Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., and Tsuda, K.:
    “Link propagation: a fast semi-supervised learning algorithm for link prediction”
    Proceedings of the SIAM international conference on data mining (SDM), pp.1100-1111 (2009).
  7. Kashima, H., and Abe, N.:
    “A parameterized probabilistic model of network evolution for supervised link prediction”
    Proceedings of the Sixth International Conference on Data Mining (ICDM), pp.340-349 (2006).
  8. Ide, T., and Kashima, H.:
    “Eigenspace-based anomaly detection in computer systems”
    Proceedings of the Tenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), pp.440-449 (2004).
  9. Kashima, H., K., Tsuda, K., Inokuchi, A.:
    “Marginalized kernels between labeled graphs”
    In Proceedings of the 20th International Conference on Machine Learning, pp.321-328 (2003)
  10. Kashima, H., and Koyanagi, T.:
    “Kernels for semi-structured data”
    In Proceedings of the 19th International Conference on Machine Learning(ICML), pp. 291-298 (2002)

Contact information

Kyoto University

Email: hisashi.kashima [at] riken.jp

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