論文

論文誌や国際会議発表などの学術活動。

論文誌

  1. Modeling patent quality: A system for large-scale patentability analysis using text mining
    Hido, Shohei, Suzuki, Shoko, Nishiyama, Risa, Imamichi, Takashi, Takahashi, Rikiya, Nasukawa, Tetsuya, Idé, Tsuyoshi, Kanehira, Yusuke, Yohda, Rinju, Ueno, Takeshi, and others,
    Information and Media Technologies , 2012.
  2. Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining (Special Issue on Theory and Application of Intelligent Information Technology)
    Hido, Shohei, Suzuki, Shoko, and Nishiyama, Risa
    情報処理学会論文誌 論文誌ジャーナル , 2012.
  3. A semi-supervised approach to indoor location estimation
    Kashima, Hisashi, Suzuki, Shoko, Hido, Shohei, Tsuboi, Yuta, Takahashi, Toshihiro, Ide, Tsuyoshi, Takahashi, Rikiya, and Tajima, Akira
    URL http://www. geocities. co. jp/Technopolis/5893/publication/ICDMDMC2007-1. pdf. Accessed , 2011.
  4. Statistical outlier detection using direct density ratio estimation
    Hido, Shohei, Tsuboi, Yuta, Kashima, Hisashi, Sugiyama, Masashi, and Kanamori, Takafumi
    Knowledge and information systems , 2011.
  5. Direct density ratio estimation for large-scale covariate shift adaptation
    Tsuboi, Yuta, Kashima, Hisashi, Hido, Shohei, Bickel, Steffen, and Sugiyama, Masashi
    Journal of Information Processing , 2009.
  6. Roughly balanced bagging for imbalanced data
    Hido, Shohei, Kashima, Hisashi, and Takahashi, Yutaka
    Statistical Analysis and Data Mining: The ASA Data Science Journal , 2009.
  7. A density-ratio framework for statistical data processing
    Sugiyama, Masashi, Kanamori, Takafumi, Suzuki, Taiji, Hido, Shohei, Sese, Jun, Takeuchi, Ichiro, and Wang, Liwei
    IPSJ Transactions on Computer Vision and Applications , 2009.
  8. A least-squares approach to direct importance estimation
    Kanamori, Takafumi, Hido, Shohei, and Sugiyama, Masashi
    The Journal of Machine Learning Research , 2009.
  9. A fast algorithm for mining frequent ordered subtrees
    Hido, Shohei, and Kawano, Hiroyuki
    Systems and Computers in Japan , 2007.
  10. Right-and-Left Tree Join for Less Redundant Candidate Generation in Tree Mining
    Hido, Shohei
    , 2006.
  11. Performance Evaluation of Similarity Search Module and Application for Cell Simulator
    Hido, Shohei, and Kawano, Hiroyuki
    電子情報通信学会技術研究報告. AI, 人工知能と知識処理 , 2004.
  12. A Semi-supervised Approach to Transferring the Learned Knowledge for Indoor Location Estimation
    Suzuki, Shoko, Tsuboi, Yuta, Kashima, Hisashi, Hido, Shohei, Takahashi, Toshihiro, Idé, Tsuyoshi, Takahashi, Rikiya, and Tajima, Akira
  13. Maximum Likelihood Estimation for Failed-Link Detection in Communication Networks
    Shohei, Hido, Yutaka, Takahashi, and others,

国際会議論文

  1. Cupy: A numpy-compatible library for nvidia gpu calculations
    Okuta, Ryosuke, Unno, Yuya, Nishino, Daisuke, Hido, Shohei, and Loomis, Crissman
    Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) , 2017.
  2. Chainer: a next-generation open source framework for deep learning
    Tokui, Seiya, Oono, Kenta, Hido, Shohei, and Clayton, Justin
    Proceedings of workshop on machine learning systems (LearningSys) in the twenty-ninth annual conference on neural information processing systems (NIPS) , 2015.
  3. Data marketplace for efficient data placement
    Maruyama, Hiroshi, Okanohara, Daisuke, and Hido, Shohei
    2013 IEEE 13th International Conference on Data Mining Workshops , 2013.
  4. Jubatus: An open source platform for distributed online machine learning
    Hido, Shohei, Tokui, Seiya, and Oda, Satoshi
    NIPS 2013 Workshop on Big Learning, Lake Tahoe , 2013.
  5. Krill: An Architecture for Edge-Heavy Data
    Okanohara, Daisuke, Hido, Shohei, Kubota, Nobuyuki, Unno, Yuya, and Maruyama, Hiroshi
    Third Workshop on Architectures and Systems for Big Data, Tel Aviv , 2013.
  6. Hash-based structural similarity for semi-supervised Learning on attribute graphs
    Hido, Shohei, and Kashima, Hisashi
    Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) , 2012.
  7. Temporal feature selection for time-series prediction
    Hido, Shohei, and Morimura, Tetsuro
    Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) , 2012.
  8. Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation
    Tatsubori, Michiaki, and Hido, Shohei
    2012 Annual SRII Global Conference , 2012.
  9. A linear-time graph kernel
    Hido, Shohei, and Kashima, Hisashi
    2009 Ninth IEEE International Conference on Data Mining , 2009.
  10. Trace Mining from Distributed Assembly Databases for Causal Analysis
    Hido, Shohei, Matsuzawa, Hirofumi, Kitayama, Fumihiko, and Numao, Masayuki
    Pacific-Asia Conference on Knowledge Discovery and Data Mining , 2009.
  11. Predictive modeling of patent quality by using text mining
    Kashima, Hisashi, Hido, SHOHEI, Tsuboi, YUTA, Tajima, AKIRA, Ueno, TAKESHI, Shibata, NAOKI, Sakata, ICHIRO, and Watanabe, TOSHIYA
    Proc. 19th International Conference on Management of Technology (IAMOT’09) , 2009.
  12. Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection
    Kanamori, Takafumi, Hido, Shohei, and Sugiyama, Masashi
    Advances in neural information processing systems , 2008.
  13. Unsupervised change analysis using supervised learning
    Hido, Shohei, Idé, Tsuyoshi, Kashima, Hisashi, Kubo, Harunobu, and Matsuzawa, Hirofumi
    Pacific-Asia Conference on Knowledge Discovery and Data Mining , 2008.
  14. Inlier-based outlier detection via direct density ratio estimation
    Hido, Shohei, Tsuboi, Yuta, Kashima, Hisashi, Sugiyama, Masashi, and Kanamori, Takafumi
    2008 Eighth IEEE international conference on data mining , 2008.
  15. Novelty detection by density ratio estimation
    Hido, S, Tsuboi, Y, Kashima, H, and Sugiyama, M
    Proc. of Workshop on Information-based Induction Sciences , 2007.
  16. AMIOT: induced ordered tree mining in tree-structured databases
    Hido, Shohei, and Kawano, Hiroyuki
    Fifth IEEE International Conference on Data Mining (ICDM’05) , 2005.