Einoshin Suzuki

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Tetsu MatsukawaKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Shin AndoTokyo University of ScienceVerified email at rs.tus.ac.jp
Yoichi SatoProfessor, Institute of Industrial Science, The University of TokyoVerified email at iis.u-tokyo.ac.jp
Takahiro OkabeKyushu Institute of TechnologyVerified email at ai.kyutech.ac.jp
Jean-Marc PetitProfessor of Computer Science, INSA Lyon, Université de LyonVerified email at insa-lyon.fr
Ning ZhongProfessor of Maebashi Institute of Technology, JapanVerified email at maebashi-it.ac.jp
Shusaku TsumotoShimane UniversityVerified email at med.shimane-u.ac.jp
Vasile-Marian ScuturiciINSA LyonVerified email at insa-lyon.fr
Soma BoubouOmron's Innovation research center　Verified email at omron.com
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
Yoichi SekiFaculty of Informatics, Gunma UniversityVerified email at gunma-u.ac.jp
Fabrice E. GuilletFull Professor, Computer Science, LS2N CNRS UMR6004, University of Nantes, Polytech NantesVerified email at univ-nantes.fr
Shinsuke SugayaBizReach, Inc.Verified email at bizreach.co.jp
Hiroto SaigoKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Marie PAILLOUX (AGIER)Associate Professor, LIMOS UMR 6158 CNRS, Clermont Auvergne UniversityVerified email at isima.fr
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Kai Ming TingNanjing UniversityVerified email at nju.edu.cn
Michele SebagSenior ResearcherVerified email at lri.fr
Zbigniew W. RasProfessor of Computer Science, University of North Carolina at CharlotteVerified email at uncc.edu
Akihiro InokuchiKwansei Gakuin UniversityVerified email at kwansei.ac.jp

Einoshin Suzuki

Kyushu University

Verified email at inf.kyushu-u.ac.jp - Homepage

data mining machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Hierarchical gaussian descriptor for person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato Proceedings of the IEEE conference on computer vision and pattern …, 2016	705	2016
Person re-identification using CNN features learned from combination of attributes T Matsukawa, E Suzuki 2016 23rd international conference on pattern recognition (ICPR), 2428-2433, 2016	219	2016
Exception rule mining with a relative interestingness measure F Hussain, H Liu, E Suzuki, H Lu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 86-97, 2000	194	2000
Statistical implicative analysis R Gras, E Suzuki, F Guillet, F Spagnolo Springer, 2008	182	2008
Autonomous Discovery of Reliable Exception Rules. E Suzuki KDD 97, 159-176, 1997	180	1997
Discovery of surprising exception rules based on intensity of implication E Suzuki, Y Kodratoff Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998	121	1998
Decision-tree induction from time-series data based on a standard-example split test Y Yamada, E Suzuki, H Yokoi, K Takabayashi Proceedings of the 20th international conference on machine learning (ICML …, 2003	109	2003
Flexible threshold voltage FinFETs with independent double gates and an ideal rectangular cross-section Si-Fin channel YX Liu, M Masahara, K Ishii, T Tsutsumi, T Sekigawa, H Takashima, ... IEEE International Electron Devices Meeting 2003, 18.8. 1-18.8. 3, 2003	100	2003
Undirected discovery of interesting exception rules E Suzuki International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002	84	2002
Exceptional knowledge discovery in databases based on information theory E Suzuki, M Shimura Proceedings of the Second International Conference on Knowledge Discovery …, 1996	69	1996
Unified algorithm for undirected discovery of exception rules E Suzuki, JM Żytkow International journal of intelligent systems 20 (7), 673-691, 2005	66	2005
Discovering community-oriented roles of nodes in a social network BH Chou, E Suzuki International Conference on Data Warehousing and Knowledge Discovery, 52-64, 2010	52	2010
Detecting interesting exceptions from medical test data with visual summarization E Suzuki, T Watanabe, H Yokoi, K Takabayashi Third IEEE International Conference on Data Mining, 315-322, 2003	47	2003
Discovering interesting exception rules with rule pair E Suzuki Proceedings of the ECML/PKDD workshop on advances in inductive rule learning …, 2004	46	2004
Hierarchical gaussian descriptors with application to person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato IEEE transactions on pattern analysis and machine intelligence 42 (9), 2179-2194, 2019	45	2019
Unified algorithm for undirected discovery of exception rules E Suzuki, JM Żytkow Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000	38	2000
Classifying actions based on histogram of oriented velocity vectors S Boubou, E Suzuki Journal of Intelligent Information Systems 44, 49-65, 2015	36	2015
Discovering unexpected exceptions: A stochastic approach E Suzuki Proc. Fourth int'l Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery …, 1996	36	1996
Bloomy decision tree for multi-objective classification E Suzuki, M Gotoh, Y Choki Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001	35	2001
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table. E Suzuki J. Univers. Comput. Sci. 12 (6), 627-653, 2006	34	2006

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