Hisashi Kashima

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	All	Since 2016
Citations	7088	3573
h-index	41	30
i10-index	92	69

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Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Yukino BabaAssociate Professor, University of TsukubaVerified email at cs.tsukuba.ac.jp
Shohei HidoPreferred Networks, Inc.Verified email at preferred.jp
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
Tsuyoshi IdeIBM T. J. Watson Research CenterVerified email at us.ibm.com
Ryota TomiokaMicrosoft Research CambridgeVerified email at microsoft.com
Akihiro InokuchiProfessor, Kwansei Gakuin UniversityVerified email at kwansei.ac.jp
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Satoshi OyamaHokkaido UniversityVerified email at ist.hokudai.ac.jp
Hiroshi KajinoIBM Research - TokyoVerified email at jp.ibm.com
Tsuyoshi Kato群馬大学Verified email at cs.gunma-u.ac.jp
Yoshihiro YamanishiKyushu Institute of TechnologyVerified email at bio.kyutech.ac.jp
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Paul von Bünauidalab GmbHVerified email at idalab.de
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinVerified email at tu-berlin.de
Tetsuji KuboyamaGakushuin UniversityVerified email at tk.cc.gakushuin.ac.jp
Tetsuro MorimuraIBM Research - TokyoVerified email at jp.ibm.com
Jiyi LiUniversity of YamanashiVerified email at yamanashi.ac.jp
Xu SunAssociate Professor, Peking UniversityVerified email at pku.edu.cn

Hisashi Kashima

Professor, Kyoto University

Verified email at i.kyoto-u.ac.jp - Homepage

Machine Learning Data Mining Graphs and Networks Human Computation Crowdsourcing


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Marginalized kernels between labeled graphs H Kashima, K Tsuda, A Inokuchi Proceedings of the 20th international conference on machine learning (ICML …, 2003	971	2003
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. M Sugiyama, S Nakajima, H Kashima, P Von Buenau, M Kawanabe NIPS 7, 1433-1440, 2007	712	2007
Eigenspace-based anomaly detection in computer systems T Idé, H Kashima Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	297	2004
Direct importance estimation for covariate shift adaptation M Sugiyama, T Suzuki, S Nakajima, H Kashima, P von Bünau, ... Annals of the Institute of Statistical Mathematics 60 (4), 699-746, 2008	280	2008
Roughly balanced bagging for imbalanced data S Hido, H Kashima, Y Takahashi Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009	209	2009
Statistical outlier detection using direct density ratio estimation S Hido, Y Tsuboi, H Kashima, M Sugiyama, T Kanamori Knowledge and information systems 26 (2), 309-336, 2011	194	2011
Estimation of low-rank tensors via convex optimization R Tomioka, K Hayashi, H Kashima arXiv preprint arXiv:1010.0789, 2010	193	2010
A parameterized probabilistic model of network evolution for supervised link prediction H Kashima, N Abe Sixth International Conference on Data Mining (ICDM'06), 340-349, 2006	176	2006
Kernels for semi-structured data H Kashima, T Koyanagi ICML 2, 291-298, 2002	174	2002
Link propagation: A fast semi-supervised learning algorithm for link prediction H Kashima, T Kato, Y Yamanishi, M Sugiyama, K Tsuda Proceedings of the 2009 SIAM international conference on data mining, 1100-1111, 2009	162	2009
Kernels for graphs H Kashima, K Tsuda, A Inokuchi Kernel methods in computational biology 39 (1), 101-113, 2004	159	2004
Statistical performance of convex tensor decomposition R Tomioka, T Suzuki, K Hayashi, H Kashima Advances in neural information processing systems 24, 972-980, 2011	156	2011
Direct density ratio estimation for large-scale covariate shift adaptation Y Tsuboi, H Kashima, S Hido, S Bickel, M Sugiyama Journal of Information Processing 17, 138-155, 2009	136	2009
Tensor factorization using auxiliary information A Narita, K Hayashi, R Tomioka, H Kashima Data Mining and Knowledge Discovery 25 (2), 298-324, 2012	135	2012
Kernels for graph classification H Kashima, A Inokuchi ICDM workshop on active mining 2002, 2002	133	2002
A linear-time graph kernel S Hido, H Kashima 2009 Ninth IEEE International Conference on Data Mining, 179-188, 2009	109	2009
Steered crowdsensing: Incentive design towards quality-oriented place-centric crowdsensing R Kawajiri, M Shimosaka, H Kashima Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014	105	2014
Statistical quality estimation for general crowdsourcing tasks Y Baba, H Kashima Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	98	2013
Multi-task learning via conic programming T Kato, H Kashima, M Sugiyama, K Asai Advances in Neural Information Processing Systems 20, 737-744, 2007	95	2007
A Convex Formulation for Learning from Crowds. H Kajino, Y Tsuboi, H Kashima Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence …, 2012	91	2012

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