SHIMIZU Shohei

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Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
Xiaokang ZhouAssociate Professor, Faculty of Data Science, Shiga University, JapanVerified email at biwako.shiga-u.ac.jp
Yoshinobu KawaharaOsaka University / RIKENVerified email at ist.osaka-u.ac.jp
Yutaka KanoOsaka UniversityVerified email at sigmath.es.osaka-u.ac.jp
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Wei LiangHunan UniversityVerified email at xmut.edu.cn
Qun JinProfessor, Waseda UniversityVerified email at waseda.jp
Patrick BlöbaumAmazon (AWS)Verified email at amazon.com
Weimin Li（李卫民）School of Computer Engineering and Science，Shanghai UniversityVerified email at shu.edu.cn
Kevin I-Kai WangDepartment of Electrical, Computer, and Software Engineering, The University of AucklandVerified email at auckland.ac.nz
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Takashi Nicholas MAEDATokyo Denki University (TDU)Verified email at mail.dendai.ac.jp
Wei FengInstitute of Software Chinese Academy of SciencesVerified email at tca.iscas.ac.cn
Jianhua MaProfessor of Computer Science, Hosei UniversityVerified email at hosei.ac.jp
Xuesong XuHunan University of Technology and BusinessVerified email at hutb.edu.cn
Laurence T. Yang, FCAE, FEIC, MAE,...Professor and W.F. James Research Chair, St Francis Xavier University, CanadaVerified email at stfx.ca
Suzuki JoeOsaka UnivVerified email at math.sci.osaka-u.ac.jp

SHIMIZU Shohei

Other names清水昌平

Shiga University & RIKEN

Verified email at biwako.shiga-u.ac.jp - Homepage

Causal Discovery Causality Statistics Machine Learning


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A linear non-Gaussian acyclic model for causal discovery S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen Journal of Machine Learning Research 7, 2003-2030, 2006	1327	2006
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model S Shimizu, T Inazumi, Y Sogawa, A Hyvarinen, Y Kawahara, T Washio, ... Journal of Machine Learning Research 12, 1225-1248, 2011	388	2011
Estimation of a structural vector autoregression model using non-Gaussianity A Hyvärinen, K Zhang, S Shimizu, PO Hoyer Journal of Machine Learning Research 11, 1709-1731, 2010	285	2010
Estimation of causal effects using linear non-Gaussian causal models with hidden variables PO Hoyer, S Shimizu, AJ Kerminen, M Palviainen International Journal of Approximate Reasoning 49 (2), 362-378, 2008	198	2008
Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems X Zhou, W Liang, S Shimizu, J Ma, Q Jin IEEE Transactions on Industrial Informatics 17 (8), 5790-5798, 2020	132	2020
Intelligent small object detection for digital twin in smart manufacturing with industrial cyber-physical systems X Zhou, X Xu, W Liang, Z Zeng, S Shimizu, LT Yang, Q Jin IEEE Transactions on Industrial Informatics 18 (2), 1377-1386, 2021	107	2021
Multi-modality behavioral influence analysis for personalized recommendations in health social media environment X Zhou, W Liang, I Kevin, K Wang, S Shimizu IEEE Transactions on Computational Social Systems 6 (5), 888-897, 2019	86	2019
Privacy preservation in permissionless blockchain: A survey L Peng, W Feng, Z Yan, Y Li, X Zhou, S Shimizu Digital Communications and Networks 7 (3), 295-307, 2021	85	2021
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity A Hyvärinen, S Shimizu, PO Hoyer The 25th International Conference on Machine learning (ICML2008), 424-431, 2008	85	2008
Causal discovery of linear acyclic models with arbitrary distributions PO Hoyer, A Hyvärinen, R Scheines, P Spirtes, J Ramsey, G Lacerda, ... The 24th Conference on Uncertainty in Artificial Intelligence (UAI2008), 2008	81*	2008
LiNGAM: Non-Gaussian methods for estimating causal structures S Shimizu Behaviormetrika 41 (1), 65-98, 2014	79	2014
Causal inference using nonnormality Y Kano, S Shimizu International Symposium on Science of Modeling, the 30th Anniversary of the …, 2003	77	2003
Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system X Zhou, W Liang, W Li, K Yan, S Shimizu, I Kevin, K Wang IEEE Internet of Things Journal 9 (12), 9310-9319, 2021	71	2021
Use of non-normality in structural equation modeling: Application to direction of causation S Shimizu, Y Kano Journal of Statistical Planning and Inference 138 (11), 3483-3491, 2008	68	2008
Cause-effect inference by comparing regression errors P Blöbaum, D Janzing, T Washio, S Shimizu, B Schölkopf International Conference on Artificial Intelligence and Statistics …, 2018	67	2018
Discovery of non-gaussian linear causal models using ICA S Shimizu, A Hyvarinen, Y Kano, PO Hoyer The 21st Conference on Uncertainty in Artificial Intelligence (UAI2005), 2005	61*	2005
ParceLiNGAM: A causal ordering method robust against latent confounders T Tashiro, S Shimizu, A Hyvarinen, T Washio Neural Computation 26 (1), 57-83, 2014	56	2014
Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions S Shimizu, K Bollen Journal of Machine Learning Research 15, 2629-2652, 2014	52	2014
Estimation of linear non-Gaussian acyclic models for latent factors S Shimizu, PO Hoyer, A Hyvärinen Neurocomputing 72 (7-9), 2024-2027, 2009	42	2009
B4SDC: A blockchain system for security data collection in MANETs G Liu, H Dong, Z Yan, X Zhou, S Shimizu IEEE Transactions on Big Data 8 (3), 739-752, 2020	41	2020

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