| Noise-tolerant algebraic method for reconstruction of nonlinear dynamical systems H Kera, Y Hasegawa Nonlinear Dynamics 85 (1), 675-692, 2016 | 18 | 2016 |
| Adversarial bone length attack on action recognition N Tanaka, H Kera, K Kawamoto Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2335-2343, 2022 | 17 | 2022 |
| Discovering objects of joint attention via first-person sensing H Kera, R Yonetani, K Higuchi, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 16 | 2016 |
| Temporal localization and spatial segmentation of joint attention in multiple first-person videos Y Huang, M Cai, H Kera, R Yonetani, K Higuchi, Y Sato Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 15 | 2017 |
| Vanishing ideal genetic programming H Kera, H Iba 2016 IEEE Congress on Evolutionary Computation (CEC), 5018-5025, 2016 | 12 | 2016 |
| Spurious vanishing problem in approximate vanishing ideal H Kera, Y Hasegawa IEEE Access 7, 178961-178976, 2019 | 10 | 2019 |
| Gradient boosts the approximate vanishing ideal H Kera, Y Hasegawa Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4428-4435, 2020 | 9 | 2020 |
| Improving zero-shot action recognition using human instruction with text description N Wu, H Kera, K Kawamoto Applied Intelligence 53 (20), 24142-24156, 2023 | 8 | 2023 |
| Approximate vanishing ideal computations at scale E Wirth, H Kera, S Pokutta arXiv preprint arXiv:2207.01236, 2022 | 8 | 2022 |
| Reinforcement learning with adaptive curriculum dynamics randomization for fault-tolerant robot control W Okamoto, H Kera, K Kawamoto arXiv preprint arXiv:2111.10005, 2021 | 8 | 2021 |
| Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition N Tanaka, H Kera, K Kawamoto Computer Vision and Image Understanding 240, 103936, 2024 | 7 | 2024 |
| Adversarially trained object detector for unsupervised domain adaptation K Fujii, H Kera, K Kawamoto IEEE Access 10, 59534-59543, 2022 | 7 | 2022 |
| Approximate vanishing ideal via data knotting H Kera, Y Hasegawa Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 6 | 2018 |
| Learning to compute Gröbner bases H Kera, Y Ishihara, Y Kambe, T Vaccon, K Yokoyama Advances in Neural Information Processing Systems 37, 33141-33187, 2024 | 5 | 2024 |
| Adversarial joint attacks on legged robots T Otomo, H Kera, K Kawamoto 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 5 | 2022 |
| Monomial-agnostic computation of vanishing ideals H Kera, Y Hasegawa Journal of Computational Algebra 11, 100022, 2024 | 4 | 2024 |
| Theoretical understanding of learning from adversarial perturbations S Kumano, H Kera, T Yamasaki arXiv preprint arXiv:2402.10470, 2024 | 4 | 2024 |
| Border basis computation with gradient-weighted normalization H Kera Proceedings of the 2022 International Symposium on Symbolic and Algebraic …, 2022 | 4 | 2022 |
| Are DNNs fooled by extremely unrecognizable images? S Kumano, H Kera, T Yamasaki arXiv preprint arXiv:2012.03843, 2020 | 3 | 2020 |
| Sequential variational autoencoder with adversarial classifier for video disentanglement T Haga, H Kera, K Kawamoto Sensors 23 (5), 2515, 2023 | 2 | 2023 |
