• 1886 引用
  • 18 h指数
19942019

Research output per year

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント Noboru Murataが有効な場合、研究トピックを掘り下げます。このトピックラベルは、この人物の業績からのものです。これらはともに一意のフィンガープリントを構成します。

  • 1 同様のプロファイル

ネットワーク 最近の国レベルでの外部協力。点をクリックして詳細を開いてください。

研究成果

Localizing Current Dipoles from EEG Data Using a Birth-Death Process

Nakamura, K., Sonoda, S., Hino, H., Kawasaki, M., Akaho, S. & Murata, N., 2019 1 21, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (版). Institute of Electrical and Electronics Engineers Inc., p. 2645-2651 7 p. 8621504. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

研究成果: Conference contribution

  • Real-time botnet detection using nonnegative tucker decomposition

    Kanehara, H., Takahashi, T., Murakami, Y., Inoue, D., Shimamura, J. & Murata, N., 2019 1 1, Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, p. 1337-1344 8 p. (Proceedings of the ACM Symposium on Applied Computing; 巻数 Part F147772).

    研究成果: Conference contribution

  • Retrieved Image Refinement by Bootstrap Outlier Test

    Watanabe, H., Hino, H., Akaho, S. & Murata, N., 2019 1 1, Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings. Vento, M. & Percannella, G. (版). Springer-Verlag, p. 505-517 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11678 LNCS).

    研究成果: Conference contribution

  • Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

    Nagayama, M., Aritake, T., Hino, H., Kanda, T., Miyazaki, T., Yanagisawa, M., Akaho, S. & Murata, N., 2019 1 1, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (版). Springer-Verlag, p. 102-113 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11727 LNCS).

    研究成果: Conference contribution

  • Transport analysis of infinitely deep neural network

    Sonoda, S. & Murata, N., 2019 2 1, : : Journal of Machine Learning Research. 20, p. 1-52 52 p.

    研究成果: Article