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Fingerprint Dive into the research topics where Maiya Hori is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

  • 37 Citations
  • 4 h-Index
  • 19 Conference contribution
  • 4 Article

Movement recommendation system based on multi-spot congestion analytics

Nakayama, K., Onoue, A., Hori, M., Shimada, A. & Taniguchi, R. I., Mar 1 2020, In : Sustainability (Switzerland). 12, 6, 2417.

Research output: Contribution to journalArticle

Open Access
  • Poster: Early change detection based on Spotrank

    Onoue, A., Shimada, A., Hori, M. & Taniguchi, R-I., Oct 8 2018, UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, p. 198-201 4 p. (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Simulation of energy management by controlling crowd behavior

    Hori, M., Nakayama, K., Shimada, A. & Taniguchi, R. I., Jan 1 2018, Distributed, Ambient and Pervasive Interactions: Understanding Humans - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Konomi, S. & Streitz, N. (eds.). Springer Verlag, p. 232-241 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10921 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Citation (Scopus)

    Anomaly detection for an elderly personwatching system using multiple power consumption models

    Hori, M., Harada, T. & Taniguchi, R. I., 2017, ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. De Marsico, M. D., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 669-675 7 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 1 Citation (Scopus)

    Deep learning-based prediction method for people flows and their anomalies

    Takano, S., Hori, M., Goto, T., Uchida, S., Kurazume, R. & Taniguchi, R. I., Jan 1 2017, ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. De Marsico, M. D., di Baja, G. S. & Fred, A. (eds.). SciTePress, Vol. 2017-January. p. 676-683 8 p. (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 1 Citation (Scopus)