Shohei Hido

22 papers A* 3A 2B 4Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2013 — conf
Data Marketplace for Efficient Data Placement.
ICDM Workshops
Hiroshi Maruyama, Daisuke Okanohara, Shohei Hido
2012 B conf
Hash-based structural similarity for semi-supervised Learning on attribute graphs.
ICPR
Shohei Hido, Hisashi Kashima
2012 J jnl
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining.
Inf. Media Technol.
Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
2012 J jnl
Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining.
J. Inf. Process.
Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, Toshiya Watanabe
2012 — conf
Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation.
SRII Global Conference
Michiaki Tatsubori, Shohei Hido
2012 B conf
Temporal feature selection for time-series prediction.
ICPR
Shohei Hido, Tetsuro Morimura
2011 J jnl
Statistical outlier detection using direct density ratio estimation.
Knowl. Inf. Syst.
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori
2009 J jnl
A Density-ratio Framework for Statistical Data Processing.
Inf. Media Technol.
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009 J jnl
A Density-ratio Framework for Statistical Data Processing.
IPSJ Trans. Comput. Vis. Appl.
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009 J jnl
A Least-squares Approach to Direct Importance Estimation.
J. Mach. Learn. Res.
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
2009 A* conf
A Linear-Time Graph Kernel.
ICDM
Shohei Hido, Hisashi Kashima
2009 J jnl
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
Inf. Media Technol.
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama
2009 J jnl
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
J. Inf. Process.
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama
2009 J jnl
Roughly balanced bagging for imbalanced data.
Stat. Anal. Data Min.
Shohei Hido, Hisashi Kashima, Yutaka Takahashi
2009 B conf
Trace Mining from Distributed Assembly Databases for Causal Analysis.
PAKDD
Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, Masayuki Numao
2008 A conf
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
SDM
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama
2008 — conf
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection.
NIPS
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
2008 A* conf
Inlier-Based Outlier Detection via Direct Density Ratio Estimation.
ICDM
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori
2008 A conf
Roughly Balanced Bagging for Imbalanced Data.
SDM
Shohei Hido, Hisashi Kashima
2008 B conf
Unsupervised Change Analysis Using Supervised Learning.
PAKDD
Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa
2007 J jnl
A fast algorithm for mining frequent ordered subtrees.
Syst. Comput. Jpn.
Shohei Hido, Hiroyuki Kawano
2005 A* conf
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases.
ICDM
Shohei Hido, Hiroyuki Kawano