| 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 | 2448 | 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 | 850 | 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 | 583 | 2010 |
| 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 | 368 | 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 | 328 | 2021 |
| Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system X Zhou, W Liang, W Li, K Yan, S Shimizu, KIK Wang IEEE Internet of Things Journal 9 (12), 9310-9319, 2021 | 325 | 2021 |
| 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 | 290 | 2008 |
| 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 | 257 | 2021 |
| Hierarchical federated learning with social context clustering-based participant selection for internet of medical things applications X Zhou, X Ye, I Kevin, K Wang, W Liang, NKC Nair, S Shimizu, Z Yan, ... IEEE Transactions on Computational Social Systems 10 (4), 1742-1751, 2023 | 240 | 2023 |
| Digital twin enhanced federated reinforcement learning with lightweight knowledge distillation in mobile networks X Zhou, X Zheng, X Cui, J Shi, W Liang, Z Yan, LT Yang, S Shimizu, ... IEEE Journal on Selected Areas in Communications 41 (10), 3191-3211, 2023 | 185 | 2023 |
| LiNGAM: Non-Gaussian methods for estimating causal structures S Shimizu Behaviormetrika 41 (1), 65-98, 2014 | 180 | 2014 |
| Causal-learn: Causal discovery in python Y Zheng, B Huang, W Chen, J Ramsey, M Gong, R Cai, S Shimizu, ... Journal of Machine Learning Research 25 (60), 1-8, 2024 | 168 | 2024 |
| 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 | 162 | 2019 |
| Information theoretic learning-enhanced dual-generative adversarial networks with causal representation for robust OOD generalization X Zhou, X Zheng, T Shu, W Liang, KIK Wang, L Qi, S Shimizu, Q Jin IEEE Transactions on Neural Networks and Learning Systems, 2023 | 116 | 2023 |
| 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 | 113 | 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 | 105 | 2018 |
| 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 | 104* | 2008 |
| 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 | 98 | 2020 |
| ParceLiNGAM: A causal ordering method robust against latent confounders T Tashiro, S Shimizu, A Hyvarinen, T Washio Neural Computation 26 (1), 57-83, 2014 | 98 | 2014 |
| Causal inference using nonnormality Y Kano, S Shimizu International Symposium on Science of Modeling, the 30th Anniversary of the …, 2003 | 98 | 2003 |
Aapo HyvärinenUniversity of HelsinkiVerified email at helsinki.fi
