Skip to main content

Shohei Hido


Profile

Hido's picture
Researcher
Analytics&Optimization, Analytics&Intelligence
IBM Research - Tokyo

E-Mail : hido{{AT}}jp.ibm.com

Research Area

  • Mining from sensor data
  • Learning from graph data
  • Outlier detection and change analysis

Publication

[Journal Papers]

  • Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama and Takafumi Kanamori, ``Statistical Outlier Detection using Direct Density Ratio Estimation,'' Knowledge and Information Systems, pp.309-336, vol.26, no.2, January, 2011.
  • Hirofumi Matsuzawa, Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, ``Unsupervised Change Analysis Using Supervised Learning,'' IEICE Transaction on Information and Systems, pp.816-825, vol.J93-D, no.6, June, 2010.
  • Shohei Hido, Hisashi Kashima and Yutaka Takahashi, ``Roughly Balanced Bagging for Imbalanced Data,'' Statistical Analysis and Data Mining, pp.412-426, vol.2, issue 5-6, 2009.
  • Takafumi Kanamori, Shohei Hido and Masashi Sugiyama, ``A least-squares approach to direct importance estimation,'' Journal of Machine Learning Research, pp.1391-1445, vol.10, Jul, 2009.
  • Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi and Liwei Wang, ``A density-ratio framework for statistical data processing,'' IPSJ Transactions on Computer Vision and Applications, pp.183-208, vol.1, 2009.
  • Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel and Masashi Sugiyama, ``Direct density ratio estimation for large-scale covariate shift adaptation,'' Journal of Information Processing, pp.138-155, vol.17, 2009.
  • Shohei Hido, Hiroyuki Kawano, ``A Fast Algorithm for Mining Frequent Ordered Subtrees,'' Systems and Computers in Japan, pp.34-43, vol.38, no.7, June, 2007.

[International Conferences]

  • Shohei Hido and Hisashi Kashima, ``A Linear-time Graph Kernel,'' Proc. of the Nineth IEEE International Conference on Data Mining (ICDM2009), pp.179-188, 6--9 December, Miami, Florida, 2009. [pdf | ppt]
  • Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama and Masayuki Numao, ``Trace Mining from Distributed Assembly Databases for Causal Analysis,'' Proc. of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2009), pp.731-740, 27--30 April, Bangkok, Thailand, 2009. [ppt]
  • Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama and Takafumi Kanamori, ``Inlier-based Outlier Detection via Direct Density Ratio Estimation,'' Proc. of the Eighth IEEE International Conference on Data Mining (ICDM2008), pp.223-232, December, Pisa, Italy, 2008. [pdf | ppt]
  • Takafumi Kanamori, Shohei Hido and Masashi Sugiyama, ``Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection,'' Proc. of the 22nd Annual Conference on Neural Information Processing Systems (NIPS2008), pp.809-816, 8--11 December, Vancouver, Canada, 2008.
  • Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo and Hirofumi Matsuzawa, ``Unsupervised Change Analysis using Supervised Learning,'' Proc. of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008), pp.148-159, 20--23 May, Osaka, Japan, 2008. [ppt]
  • Shohei Hido and Hisashi Kashima, ``Roughly Balanced Bagging for Imbalanced Data'', Proc. of the 2008 SIAM International Conference on Data Mining (SDM2008), pp.143-152, 24--26 April, Atlanta, USA, 2008. [ppt]
  • Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel and Masashi Sugiyama, ``Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation'', Proc. of the 2008 SIAM International Conference on Data Mining (SDM2008), pp.443-454, 24--26 April, Atlanta, USA, 2008.
  • Hisashi Kashima, Shoko Suzuki, Shohei Hido, Yuta Tsuboi, Toshihiro Takahashi, Tsuyoshi Ide, Rikiya Takahashi and Akira Tajima, ``A Semi-supervised Approach to Indoor Location Estimation'', In IEEE ICDM Data Mining Contest 2007, 28--31 October, Nebraska, 2007 (winner for Task1 out of 15 teams).
  • Shoko Suzuki, Hisashi Kashima, Shohei Hido, Yuta Tsuboi, Toshihiro Takahashi, Tsuyoshi Ide, Rikiya Takahashi and Akira Tajima, ``A Semi-supervised Approach to Transferring the Learned Knowledge for Indoor Location Estimation'', In IEEE ICDM Data Mining Contest 2007 , 28--31 October, Nebraska, USA, 2007 (2nd runner-up for Task2 out of 17 teams).
  • Shohei Hido and Hiroyuki Kawano, ``AMIOT: Induced Ordered Tree Mining in Tree-structured Databases,'' Proc. of the Fifth IEEE International Conference on Data Mining (ICDM2005), pp.170-177, 27--30 November, Houston, Texas, 2005.

[Domestic Conferences]

  • Shohei Hido, Takashi Imamichi, Shoko Suzuki, Rikiya Takahashi, Yusuke Kanehira, Rinju Yohda, Akira Tajima, Takeshi Ueno and Toshiya Watanabe, ``Quantitative Evaluation and Statistical Analysis of Patent Quality using Machine Learning,'' The First AAMT/Japio Symposiumu on Patent Information Processing, 10 December, Tokyo, Japan, 2010 (in Japanese).
  • Shohei Hido and Hisashi Kashima, ``A Fast Graph Kernel using Neighborhood Hash,'' Proc. of the 2009 Workshop on Information-Based Induction Sciences (IBIS2009), pp.197-204, 19--21 October, 2009 (in Japanese). [pdf | ppt]
  • Shohei Hido and Yutaka Takahashi, ``Maximum Likelihood Estimation for Failed-Link Detection in Communication Networks,'' The Fourth International Workshop on Data-mining and Statistical Science, pp.87-93, 7--8 July, Kyoto, Japan, 2009.
  • Takafumi Kanamori, Shohei Hido and Masashi Sugiyama, ``Learning and Density Ratio Estimation under Covariate Shift,'' Proc. of the 2008 Japanese Joint Statistical Meeting, 7--10 September, Yokohama, Japan, 2008 (in Japanese).
  • Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi and Liwei Wang, ``Direct Importance Estimation---A New Versatile Tool for Statistical Pattern Recognition'', Proc. of the Meeting on Image Recognition and Understanding 2008 (MIRU2008), OS1-1, 29--31 July, Nagano, Japan, 2008 (Best Paper Runner-up Award).
  • Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, ``Novelty detection by Density Ratio Estimation'', Proc. of the 2007 Workshop on Information-Based Induction Sciences (IBIS2007), pp.197-204, 5--7 November, 2007.
  • Shohei Hido, Hiroyuki Kawano, ``Frequent Ordered Subtree Discovery Algorithm Using Left-Right Tree Join,'' Proc. of the 16th IEICE Data Engineering Workshop (DEWS2005), 6C-i9, 28 February--2 March, 2005 (Presentation Award, in Japanese).
  • Shohei Hido, Hiroyuki Kawano, ``Performance Evaluation of Similarity Search Module and Application for Cell Simulator,'' Proc. of the Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining (2004-ICS-138), pp.169-174, 4--7 December, Hanoi, Vietnam, 2004.
  • Shohei Hido, Takayuki Itoh, Koji Koyamada, Koji Sakai, Nobuaki Sarai, ``Application of Web Service Software for Parameter Optimization System on Cell Simulator,'' The Fourth JSBi Workshop on Systems Biology, 27 August, 2004 (in Japanese).
  • Shohei Hido*, Hirokazu Nishio*, Kennosuke Wada, Yoshiko Wada, Toshimichi Ikemura, Shigehiko Kanaya, ``Visualization of Whole Genome,'' Proc. of the 44th IPSJ Programming Symposium, pp.55-62, 8--10 January, 2003 (Yamauchi Incentive Award, *Equally Contributed, in Japanese).

[Others]

  • Shohei Hido, Hiroyuki Kawano, ``Proposal of Efficient Enumeration Method for Frequent Ordered Subtree Discovery,'' DBSJ Letters, vol.4, no.1, pp.165-168, June, 2005 (in Japanese).
  • Shohei Hido, Nobuaki Sarai, Keiichi Asakura, Takayuki Itoh, Koji Koyamada, Hiroyuki Kawano, Akinori Noma, ``Extrapolation Method of the Drug Effects on Cardiac Action Potential by the Combination of Models and Experiments,'' Proc. of the Fifth International Conference on Systems Biology (ICSB2004), pp.381, 9--13 October, Heidelberg, Germany, 2004 (Poster).

History

[Award/Grant]

  • 2002.8 "Visualization of Genome Using 4-dimensional Graph", Adopted in IPA Exploratory Software Project Youth Division 2002 (Co-work with Hirokazu Nishio).
  • 2003.1 Yamauchi Incentive Award, the 44th IPSJ Programming Symposium.
  • 2003.7 Super Creator Award, IPA Exploratory Software Project Youth Division 2002.
  • 2005.3 Presentation Award, DEWS2005.
  • 2008.7 Best Paper Runner-up Award, MIRU2008.

[Bibliography]

  • 2000.3 Graduate from Funabashi Prefectural High School, Chiba, Japan.
  • 2004.3 Bachelor of Engineering from Applied Mathematics and Physics Course, School of Informatics and Mathematical Science, Kyoto University, Japan.
  • 2006.3 Master of Informatics from Department of Systems Science, Graduate School of Informatics, Kyoto University, Japan.
  • 2006.4- IBM Research, Tokyo Research Laboratory, Japan.
  • 2008.4- Ph.D. Course, Department of Systems Science, Graduate School of Informatics, Kyoto University, Japan.

Link

Data Analytics

Data Analytics for Sensor Data

Data Analytics for Business Data

Data Analytics for Structured Data