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Journal Articles

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2012
[j7]
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  - journals/jip/HidoSNITNIKYUTW12
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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. JIP 20(3): 655-666 (2012)
2011
[j6]
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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)
2009
[j5]
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Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Computer Vision and Applications 1: 183-208 (2009)
[j4]
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Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. JIP 17: 138-155 (2009)
[j3]
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  - journals/jmlr/KanamoriHS09
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Takafumi Kanamori, Shohei Hido, Masashi Sugiyama:
A Least-squares Approach to Direct Importance Estimation. Journal of Machine Learning Research 10: 1391-1445 (2009)
[j2]
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Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
Roughly balanced bagging for imbalanced data. Statistical Analysis and Data Mining 2(5-6): 412-426 (2009)
2007
[j1]
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  - journals/scjapan/HidoK07
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Shohei Hido, Hiroyuki Kawano:
A fast algorithm for mining frequent ordered subtrees. Systems and Computers in Japan 38(7): 34-43 (2007)

Conference and Workshop Papers

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2013
[c12]
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  - conf/icdm/MaruyamaOH13
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Hiroshi Maruyama, Daisuke Okanohara, Shohei Hido:
Data Marketplace for Efficient Data Placement. ICDM Workshops 2013: 702-705
2012
[c11]
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Shohei Hido, Hisashi Kashima:
Hash-based structural similarity for semi-supervised Learning on attribute graphs. ICPR 2012: 3009-3012
[c10]
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Shohei Hido, Tetsuro Morimura:
Temporal feature selection for time-series prediction. ICPR 2012: 3557-3560
[c9]
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  - conf/srii/TatsuboriH12
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Michiaki Tatsubori, Shohei Hido:
Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation. SRII Global Conference 2012: 120-129
2009
[c8]
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Shohei Hido, Hisashi Kashima:
A Linear-Time Graph Kernel. ICDM 2009: 179-188
[c7]
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Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, Masayuki Numao:
Trace Mining from Distributed Assembly Databases for Causal Analysis. PAKDD 2009: 731-740
2008
[c6]
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Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232
[c5]
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Takafumi Kanamori, Shohei Hido, Masashi Sugiyama:
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection. NIPS 2008: 809-816
[c4]
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Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa:
Unsupervised Change Analysis Using Supervised Learning. PAKDD 2008: 148-159
[c3]
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Shohei Hido, Hisashi Kashima:
Roughly Balanced Bagging for Imbalanced Data. SDM 2008: 143-152
[c2]
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Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454
2005
[c1]
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  - conf/icdm/HidoK05
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Shohei Hido, Hiroyuki Kawano:
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases. ICDM 2005: 170-177

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