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ORCIDShohei Hido
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2010 – 2019
- 2013
[c12]Hiroshi Maruyama, Daisuke Okanohara, Shohei Hido:
Data Marketplace for Efficient Data Placement. ICDM Workshops 2013: 702-705- 2012
- [j10]Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe:
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. Inf. Media Technol. 7(3): 1180-1191 (2012) - [j9]Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé
, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe:
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining. J. Inf. Process. 20(3): 655-666 (2012) - [c11]Shohei Hido, Hisashi Kashima:
Hash-based structural similarity for semi-supervised Learning on attribute graphs. ICPR 2012: 3009-3012 - [c10]Shohei Hido, Tetsuro Morimura:
Temporal feature selection for time-series prediction. ICPR 2012: 3557-3560 - [c9]Michiaki Tatsubori, Shohei Hido:
Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation. SRII Global Conference 2012: 120-129 - 2011
- [j8]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Statistical outlier detection using direct density ratio estimation. Knowl. Inf. Syst. 26(2): 309-336 (2011)
2000 – 2009
- 2009
- [j7]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Inf. Media Technol. 4(2): 529-546 (2009) - [j6]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. Inf. Media Technol. 4(4): 962-987 (2009) - [j5]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. 1: 183-208 (2009) - [j4]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. J. Inf. Process. 17: 138-155 (2009) - [j3]Takafumi Kanamori, Shohei Hido, Masashi Sugiyama:
A Least-squares Approach to Direct Importance Estimation. J. Mach. Learn. Res. 10: 1391-1445 (2009) - [j2]Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
Roughly balanced bagging for imbalanced data. Stat. Anal. Data Min. 2(5-6): 412-426 (2009) - [c8]Shohei Hido, Hisashi Kashima:
A Linear-Time Graph Kernel. ICDM 2009: 179-188 - [c7]Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, Masayuki Numao:
Trace Mining from Distributed Assembly Databases for Causal Analysis. PAKDD 2009: 731-740 - 2008
- [c6]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232 - [c5]Takafumi Kanamori, Shohei Hido, Masashi Sugiyama:
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection. NIPS 2008: 809-816 - [c4]Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa:
Unsupervised Change Analysis Using Supervised Learning. PAKDD 2008: 148-159 - [c3]Shohei Hido, Hisashi Kashima:
Roughly Balanced Bagging for Imbalanced Data. SDM 2008: 143-152 - [c2]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454 - 2007
- [j1]Shohei Hido, Hiroyuki Kawano:
A fast algorithm for mining frequent ordered subtrees. Syst. Comput. Jpn. 38(7): 34-43 (2007) - 2005
- [c1]Shohei Hido, Hiroyuki Kawano:
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases. ICDM 2005: 170-177
Coauthor Index
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